In this paper, we consider a low complexity identification system for highly distorted images. The performance of the proposed identification system is analyzed based on the avera...
This paper presents a graph-theoretic model of the acquisition of lexical syntactic representations. The representations the model learns are non-categorical or graded. We propose...
: In this paper we propose model-driven techniques to migrate legacy systems into Service-Oriented Architectures (SOA). The proposal explores how querying and transformation techni...
We propose a nonparametric Bayesian factor regression model that accounts for uncertainty in the number of factors, and the relationship between factors. To accomplish this, we pr...
We propose to investigate test statistics for testing homogeneity based on kernel Fisher discriminant analysis. Asymptotic null distributions under null hypothesis are derived, an...